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Learning landing control of an indoor blimp robot for self-energy recharging

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Abstract

We report on learning landing control for the self-energy recharging of indoor blimp robots. Indoor blimp robots have potential applications in monitoring, surveillance, and entertainment. It might be necessary for blimp robots to fly for a long time to achieve these tasks. Since blimp robots cannot have a heavy battery, it is difficult to fly for long time. Therefore, we solved this problem by developing self-energy recharging control, i.e., docking to an energy charging station. We call it landing control. We introduce a way to learn landing control to tackle an unstable flying condition. The results of experiments show the effectiveness of the landing control.

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Authors and Affiliations

  1. Graduate School of Information Science and Technology, Hokkaido University, Kita-14, Nishi-9, Kita-ku, Sapporo, 060-0814, Japan

    Hidenori Kawamura, Masahito Yamamoto & Azuma Ohuchi

  2. Ricoh Software, Sapporo, Japan

    Toshihiko Takaya

Authors
  1. Hidenori Kawamura
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  2. Masahito Yamamoto
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  3. Toshihiko Takaya
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  4. Azuma Ohuchi
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Corresponding author

Correspondence to Hidenori Kawamura.

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Kawamura, H., Yamamoto, M., Takaya, T. et al. Learning landing control of an indoor blimp robot for self-energy recharging. Artif Life Robotics 12, 116–121 (2008). https://doi.org/10.1007/s10015-007-0451-y

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  • DOI: https://doi.org/10.1007/s10015-007-0451-y

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